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Volumn , Issue , 2015, Pages 1191-1194

ArcGIS v.10 landslide susceptibility data mining add-in tool integrating data mining and GIS techniques to model landslide susceptibility

Author keywords

Data Mining; Gis; Landslide Inventory; Landslide Susceptibility; See5

Indexed keywords

DECISION TREES; GEOGRAPHIC INFORMATION SYSTEMS; LANDSLIDES; LEARNING SYSTEMS; MODEL BUILDINGS; RISK MANAGEMENT; SOFTWARE DESIGN; TREES (MATHEMATICS);

EID: 84944533248     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-3-319-09057-3_208     Document Type: Chapter
Times cited : (8)

References (15)
  • 1
    • 84886819667 scopus 로고    scopus 로고
    • Guidelines for landslide susceptibility, hazard and risk zoning for land use planning
    • AGS (2007) Guidelines for landslide susceptibility, hazard and risk zoning for land use planning. Aust Geomech J 42(1):23
    • (2007) Aust Geomech J , vol.42 , Issue.1 , pp. 23
  • 3
    • 55749106215 scopus 로고    scopus 로고
    • Guidelines for landslide susceptibility, hazard and risk zoning for land use planning
    • Fell R, Corominas J, Bonnard C, Cascini L, Leroi E, Savage WZ (2008) Guidelines for landslide susceptibility, hazard and risk zoning for land use planning. Eng Geol 102(3-4):85-98. doi:10.1016/j.enggeo.2008.03.022
    • (2008) Eng Geol , vol.102 , Issue.3-4 , pp. 85-98
    • Fell, R.1    Corominas, J.2    Bonnard, C.3    Cascini, L.4    Leroi, E.5    Savage, W.Z.6
  • 8
    • 55749091598 scopus 로고    scopus 로고
    • Landslide susceptibility and hazard mapping in australia for land-use planning: With reference to challenges in metropolitan suburbia
    • Leventhal AR, Kotze GP (2008) Landslide susceptibility and hazard mapping in Australia for land-use planning: with reference to challenges in metropolitan suburbia. Eng Geol 102(3-4):238-250. doi:10.1016/j.enggeo.2008.03.021
    • (2008) Eng Geol , vol.102 , Issue.3-4 , pp. 238-250
    • Leventhal, A.R.1    Kotze, G.P.2
  • 11
    • 33744584654 scopus 로고
    • Induction of decision trees
    • Quinlan JR (1986) Induction of decision trees. Mach Learn 1(1):81-106. doi:10.1023/a:1022643204877
    • (1986) Mach Learn , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, J.R.1
  • 12
    • 0003500248 scopus 로고
    • Morgan Kaufmann Publishers Inc., San Francisco. ISBN: 1-55860-238-0
    • Quinlan JR (1993) C4.5: programs for machine learning: Morgan Kaufmann Publishers Inc., San Francisco. ISBN: 1-55860-238-0
    • (1993) C4.5: Programs for Machine Learning
    • Quinlan, J.R.1
  • 13
    • 67349208776 scopus 로고    scopus 로고
    • Comparison of landslide susceptibility based on a decision-tree model and actual landslide occurrence: The akaishi mountains, japan
    • Saito H, Nakayama D, Matsuyama H (2009) Comparison of landslide susceptibility based on a decision-tree model and actual landslide occurrence: The Akaishi Mountains, Japan. Geomorphology 109(3-4):108-121. doi:10.1016/j.geomorph.2009.02.026
    • (2009) Geomorphology , vol.109 , Issue.3-4 , pp. 108-121
    • Saito, H.1    Nakayama, D.2    Matsuyama, H.3
  • 14
    • 84860846016 scopus 로고    scopus 로고
    • Manage slope instability hazards affecting local roads within the city of wollongong
    • Tobin PR (2012) Manage slope instability hazards affecting local roads within the city of Wollongong. Aust Geomech J 47:53-58
    • (2012) Aust Geomech J , vol.47 , pp. 53-58
    • Tobin, P.R.1
  • 15
    • 78149413054 scopus 로고    scopus 로고
    • Landslide susceptibility mapping in injae, korea, using a decision tree
    • Yeon YK, Han JG, Ryu KH (2010) Landslide susceptibility mapping in Injae, Korea, using a decision tree. Eng Geol 116(3-4):274-283
    • (2010) Eng Geol , vol.116 , Issue.3-4 , pp. 274-283
    • Yeon, Y.K.1    Han, J.G.2    Ryu, K.H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.